Feb. 22, 2024, 5:48 a.m. | Zhiwei He, Binglin Zhou, Hongkun Hao, Aiwei Liu, Xing Wang, Zhaopeng Tu, Zhuosheng Zhang, Rui Wang

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.14007v1 Announce Type: new
Abstract: Text watermarking technology aims to tag and identify content produced by large language models (LLMs) to prevent misuse. In this study, we introduce the concept of ''cross-lingual consistency'' in text watermarking, which assesses the ability of text watermarks to maintain their effectiveness after being translated into other languages. Preliminary empirical results from two LLMs and three watermarking methods reveal that current text watermarking technologies lack consistency when texts are translated into various languages. Based on …

abstract arxiv concept cross-lingual cs.ai cs.cl identify language language models large language large language models llms misuse study tag technology text translation type watermark watermarking watermarks

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